EMRResearch / ExtremeValueMachineLinks
This is an implementation of the Extreme Value Machine by Rudd et al., with minor changes from the original work.
☆52Updated 6 years ago
Alternatives and similar repositories for ExtremeValueMachine
Users that are interested in ExtremeValueMachine are comparing it to the libraries listed below
Sorting:
- ☆51Updated 10 years ago
- Library for Meta-Recognition and Weibull based calibration of SVM data.☆84Updated 2 years ago
- Try Openmax with MNIST Fashion dataset☆11Updated 7 years ago
- Code and data for Paper - Towards Open World Recognition - CVPR 2015☆22Updated 7 years ago
- PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Gene…☆90Updated 3 years ago
- Open-set Recognition with Adversarial Autoencoders☆39Updated 6 years ago
- Open-Set Recognition Using Intra-Class Splitting☆17Updated 5 years ago
- Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016☆280Updated 7 years ago
- Open set domain adaptation☆87Updated 5 years ago
- Keras implementation for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016☆84Updated 2 years ago
- A simple training/evaluation code of open set recognition using OpenMax (https://arxiv.org/abs/1511.06233)☆56Updated 7 years ago
- ☆23Updated 5 years ago
- Counterfactual Image Generation☆83Updated 5 years ago
- Code for 'Open Set Domain Adaptation by Backpropagation'☆76Updated 6 years ago
- ☆16Updated 7 years ago
- The demo code for the MLDG paper "Learning to Generalize: Meta-Learning for Domain Generalization", https://arxiv.org/abs/1710.03463, htt…☆145Updated 6 years ago
- Open-source code for our paper: Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set Recognition☆63Updated 3 years ago
- Code refactoring for paper "Domain Generalization with Adversarial Feature Learning" in VLCS datasets.☆56Updated 5 years ago
- Code for CVPR 2019 paper Label Propagation for Deep Semi-supervised Learning☆116Updated 5 years ago
- "Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)☆105Updated 5 years ago
- ☆58Updated 6 years ago
- Code for CVPR2020 paper: Conditional Gaussian Distribution Learning for Open Set Recognition☆40Updated 5 years ago
- ☆69Updated 6 years ago
- Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".☆138Updated 6 years ago
- Code for research paper "Learning a Neural Network based Representation for Open Set Recognition" M. Hassen, P. K. Chan☆26Updated 5 years ago
- Domain agnostic learning with disentangled representations☆147Updated 5 years ago
- Discriminative Feature Alignment for Unsupervised Domain Adaptation☆69Updated 4 years ago
- Joint Domain Alignment and Discriminative Feature Learning for Unsupervised Deep Domain Adaptation（AAAI-2019）☆83Updated 5 years ago
- Pytorch implementation of End-to-End Incremental Learning [2018 ECCV Castro]☆63Updated 6 years ago
- Code release for "Transferable Normalization: Towards Improving Transferability of Deep Neural Networks" (NeurIPS 2019)☆79Updated 4 years ago